Time Series

Paper Group ANR 171

Paper Group ANR 171

July 28, 2019

Directional Statistics and Filtering Using libDirectional. Training Support Vector Machines using Coresets. Automatic calcium scoring in low-dose chest CT using deep neural networks with dilated convolutions. Generating Multiple Diverse Hypotheses for Human 3D Pose Consistent with 2D Joint Detections. Supervisor Synthesis of POMDP based on Automata …
Paper Group ANR 174

Paper Group ANR 174

July 28, 2019

Practical Learning of Predictive State Representations. Automatic Brain Tumor Detection and Segmentation Using U-Net Based Fully Convolutional Networks. Expectation maximization transfer learning and its application for bionic hand prostheses. Data-driven Optimal Cost Selection for Distributionally Robust Optimization. IDK Cascades: Fast Deep Learn …
Paper Group ANR 175

Paper Group ANR 175

July 28, 2019

Data Augmentation for Low-Resource Neural Machine Translation. The Effect of Communication on Noncooperative Multiplayer Multi-Armed Bandit Problems. Line Profile Based Segmentation Algorithm for Touching Corn Kernels. Inverse Reinforcement Learning in Large State Spaces via Function Approximation. Strategies for Conceptual Change in Convolutional …
Paper Group ANR 179

Paper Group ANR 179

July 28, 2019

Representation and Reinforcement Learning for Personalized Glycemic Control in Septic Patients. Algorithmic learning of probability distributions from random data in the limit. Efficient Compression Technique for Sparse Sets. Radiomics strategies for risk assessment of tumour failure in head-and-neck cancer. What do We Learn by Semantic Scene Under …
Paper Group ANR 185

Paper Group ANR 185

July 28, 2019

Pyramid Vector Quantization for Deep Learning. A Generic Framework for Interesting Subspace Cluster Detection in Multi-attributed Networks. Large-Scale Domain Adaptation via Teacher-Student Learning. Learning to Embed Words in Context for Syntactic Tasks. Simplified Long Short-term Memory Recurrent Neural Networks: part II. Machine Learning Approac …
Paper Group ANR 201

Paper Group ANR 201

July 28, 2019

Secure Classification With Augmented Features. Shallow and Deep Networks Intrusion Detection System: A Taxonomy and Survey. Learning from Ontology Streams with Semantic Concept Drift. Spoken Language Biomarkers for Detecting Cognitive Impairment. Scalable Person Re-identification on Supervised Smoothed Manifold. Theoretical Analysis of Stochastic S …
Paper Group ANR 205

Paper Group ANR 205

July 28, 2019

Bipartite Graph Matching for Keyframe Summary Evaluation. A recommender system to restore images with impulse noise. Warped-Linear Models for Time Series Classification. Semi-analytical approximations to statistical moments of sigmoid and softmax mappings of normal variables. On Learning Mixtures of Well-Separated Gaussians. Fiber-Flux Diffusion De …
Paper Group ANR 206

Paper Group ANR 206

July 28, 2019

Relevance Subject Machine: A Novel Person Re-identification Framework. Robust Maximum Likelihood Estimation of Sparse Vector Error Correction Model. Efficient mixture model for clustering of sparse high dimensional binary data. Robust Guided Image Filtering. Active Image-based Modeling with a Toy Drone. Nesterov’s Acceleration For Approximate Newto …
Paper Group ANR 218

Paper Group ANR 218

July 28, 2019

Suggestive Annotation: A Deep Active Learning Framework for Biomedical Image Segmentation. Independence clustering (without a matrix). SUNNY-CP and the MiniZinc Challenge. Mondrian Processes for Flow Cytometry Analysis. A Framework for Dynamic Image Sampling Based on Supervised Learning (SLADS). Long Short-Term Memory (LSTM) networks with jet const …
Paper Group ANR 220

Paper Group ANR 220

July 28, 2019

Dialectical Multispectral Classification of Diffusion-Weighted Magnetic Resonance Images as an Alternative to Apparent Diffusion Coefficients Maps to Perform Anatomical Analysis. LogitBoost autoregressive networks. A Novel Stochastic Stratified Average Gradient Method: Convergence Rate and Its Complexity. Optimizing Quantum Models of Classical Chan …
Paper Group ANR 225

Paper Group ANR 225

July 28, 2019

A Statistical Machine Learning Approach to Yield Curve Forecasting. An Energy-Efficient Mixed-Signal Neuron for Inherently Error-Resilient Neuromorphic Systems. Real-Time Automatic Fetal Brain Extraction in Fetal MRI by Deep Learning. A Novel Low-Complexity Framework in Ultra-Wideband Imaging for Breast Cancer Detection. ScanNet: A Fast and Dense S …
Paper Group ANR 226

Paper Group ANR 226

July 28, 2019

LCDet: Low-Complexity Fully-Convolutional Neural Networks for Object Detection in Embedded Systems. Aggregating incoherent agents who disagree. Can CNN Construct Highly Accurate Models Efficiently for High-Dimensional Problems in Complex Product Designs?. Machine Learning and Social Robotics for Detecting Early Signs of Dementia. Une mesure d’exper …
Paper Group ANR 233

Paper Group ANR 233

July 28, 2019

Balancing Novelty and Salience: Adaptive Learning to Rank Entities for Timeline Summarization of High-impact Events. On the Power of Truncated SVD for General High-rank Matrix Estimation Problems. Learning Semantic Correspondences in Technical Documentation. Analysis of Thompson Sampling for Gaussian Process Optimization in the Bandit Setting. Crim …
Paper Group ANR 234

Paper Group ANR 234

July 28, 2019

Novel Structured Low-rank algorithm to recover spatially smooth exponential image time series. Transfer learning from synthetic to real images using variational autoencoders for robotic applications. Learning body-affordances to simplify action spaces. A Paradigm Shift: Detecting Human Rights Violations Through Web Images. Latent Embeddings for Col …
Paper Group ANR 245

Paper Group ANR 245

July 28, 2019

Interpretable Apprenticeship Learning with Temporal Logic Specifications. Binarsity: a penalization for one-hot encoded features in linear supervised learning. A Learning-Based Approach for Lane Departure Warning Systems with a Personalized Driver Model. Fast Model Identification via Physics Engines for Data-Efficient Policy Search. Introspection: …
Paper Group ANR 246

Paper Group ANR 246

July 28, 2019

On Noisy Negative Curvature Descent: Competing with Gradient Descent for Faster Non-convex Optimization. A general unified framework for interval pairwise comparison matrices. Virtual PET Images from CT Data Using Deep Convolutional Networks: Initial Results. Deriving Compact Laws Based on Algebraic Formulation of a Data Set. Multi-Task Learning Us …
Paper Group ANR 254

Paper Group ANR 254

July 28, 2019

Transfer Regression via Pairwise Similarity Regularization. Phase recovery and holographic image reconstruction using deep learning in neural networks. Light Field Segmentation From Super-pixel Graph Representation. Multimodal Compact Bilinear Pooling for Multimodal Neural Machine Translation. Online Forecasting Matrix Factorization. Penalizing Unf …
Paper Group ANR 256

Paper Group ANR 256

July 28, 2019

From First-Order Logic to Assertional Logic. Catching Anomalous Distributed Photovoltaics: An Edge-based Multi-modal Anomaly Detection. Linear Additive Markov Processes. Neural Network Multitask Learning for Traffic Flow Forecasting. Forecasting using incomplete models. Production Ready Chatbots: Generate if not Retrieve. Counterexample Guided Indu …
Paper Group ANR 259

Paper Group ANR 259

July 28, 2019

Horn-ICE Learning for Synthesizing Invariants and Contracts. Just ASK: Building an Architecture for Extensible Self-Service Spoken Language Understanding. A DIKW Paradigm to Cognitive Engineering. Passive Classification of Source Printer using Text-line-level Geometric Distortion Signatures from Scanned Images of Printed Documents. TripletGAN: Trai …
Paper Group ANR 260

Paper Group ANR 260

July 28, 2019

Analysis of Dropout in Online Learning. Deep Convolutional Neural Networks for Raman Spectrum Recognition: A Unified Solution. On Compiling DNNFs without Determinism. Improved Support Recovery Guarantees for the Group Lasso With Applications to Structural Health Monitoring. An Empirical Analysis of Multiple-Turn Reasoning Strategies in Reading Comp …
Paper Group ANR 263

Paper Group ANR 263

July 28, 2019

Manifold Regularized Slow Feature Analysis for Dynamic Texture Recognition. A Reinforcement Learning Approach to Weaning of Mechanical Ventilation in Intensive Care Units. PVEs: Position-Velocity Encoders for Unsupervised Learning of Structured State Representations. A Sequential Model for Classifying Temporal Relations between Intra-Sentence Event …
Paper Group ANR 265

Paper Group ANR 265

July 28, 2019

The Use of Autoencoders for Discovering Patient Phenotypes. On the Generalized Essential Matrix Correction: An efficient solution to the problem and its applications. D-SLATS: Distributed Simultaneous Localization and Time Synchronization. Modeling The Intensity Function Of Point Process Via Recurrent Neural Networks. Reduction of Overfitting in Di …
Paper Group ANR 278

Paper Group ANR 278

July 28, 2019

JaTeCS an open-source JAva TExt Categorization System. MOBA: a New Arena for Game AI. Online People Tracking and Identification with RFID and Kinect. Unsupervised Generative Adversarial Cross-modal Hashing. Small-loss bounds for online learning with partial information. Unsupervised Representation Learning by Sorting Sequences. Recovering Latent Si …
Paper Group ANR 286

Paper Group ANR 286

July 28, 2019

Examining CNN Representations with respect to Dataset Bias. Crop Planning using Stochastic Visual Optimization. Improving Sparsity in Kernel Adaptive Filters Using a Unit-Norm Dictionary. Collaborative Summarization of Topic-Related Videos. Surfacing contextual hate speech words within social media. Face-to-BMI: Using Computer Vision to Infer Body …
Paper Group ANR 296

Paper Group ANR 296

July 28, 2019

Axiomatic Characterization of Data-Driven Influence Measures for Classification. SwellShark: A Generative Model for Biomedical Named Entity Recognition without Labeled Data. Deep Neural Network Capacity. Influence of Personal Preferences on Link Dynamics in Social Networks. Improving Malware Detection Accuracy by Extracting Icon Information. End-to …
Paper Group ANR 298

Paper Group ANR 298

July 28, 2019

People Counting in Crowded and Outdoor Scenes using a Hybrid Multi-Camera Approach. A divide and conquer method for symbolic regression. Generalized maximum entropy estimation. Fast Algorithms for Learning Latent Variables in Graphical Models. One-Step Time-Dependent Future Video Frame Prediction with a Convolutional Encoder-Decoder Neural Network. …
Paper Group ANR 301

Paper Group ANR 301

July 28, 2019

A Note on Community Trees in Networks. Investigation of Language Understanding Impact for Reinforcement Learning Based Dialogue Systems. View-invariant Gait Recognition through Genetic Template Segmentation. Practical Coreset Constructions for Machine Learning. Efficient-UCBV: An Almost Optimal Algorithm using Variance Estimates. Non-parametric Est …
Paper Group ANR 307

Paper Group ANR 307

July 28, 2019

Unsupervised Incremental Learning of Deep Descriptors From Video Streams. Frank-Wolfe Optimization for Symmetric-NMF under Simplicial Constraint. Cascaded Region-based Densely Connected Network for Event Detection: A Seismic Application. Hardware-Driven Nonlinear Activation for Stochastic Computing Based Deep Convolutional Neural Networks. UC Merce …